Jul 25, 2023
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Ongoing
Data Pipeline Development Services For Robotics
$100,000+
more 1 year
United States
6-9
Service categories
Service Lines
IoT Development
Domain focus
Transportation & Logistics
Programming language
Python
Challenge
1) Guarantee high data quality and implement a real-time data collection process without delays.
2) Verify and ensure the completeness of gathered information.
3)Improve system stability and reliability.
4) Develop a cost-effective cloud solution capable of handling a 10 Gb per second data collection rate.
5) Customize the infrastructure to be independent of data volume fluctuations.
1) Guarantee high data quality and implement a real-time data collection process without delays.
2) Verify and ensure the completeness of gathered information.
3)Improve system stability and reliability.
4) Develop a cost-effective cloud solution capable of handling a 10 Gb per second data collection rate.
5) Customize the infrastructure to be independent of data volume fluctuations.
Solution
On this project, our team provided data pipeline development services that process data collected in real time into various data lakes. After that, data is analyzed and presented to metrics and boards. The complexity of the work was based on multiple data sources from different IoT devices and additional tools such as bar code scanners, CRM systems, products, and 3d party services.
On this project, our team provided data pipeline development services that process data collected in real time into various data lakes. After that, data is analyzed and presented to metrics and boards. The complexity of the work was based on multiple data sources from different IoT devices and additional tools such as bar code scanners, CRM systems, products, and 3d party services.
Results
The results of our cooperation includ the following:
1) Ist MVP version delivered in 1 month
2) Mended process of data pipeline development
3) Automated control of multiple issues and services
The results of our cooperation includ the following:
1) Ist MVP version delivered in 1 month
2) Mended process of data pipeline development
3) Automated control of multiple issues and services